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Query To Simulate CPU Load

Quite often when working testing different performance measures from the Database Health Reports to testing Resource Governor configuration I end up in a situation where I need to emulate a high CPU load on my test SQL Server. In this case it is usually my desktop or a Hyper-V virtual machine, where I want to see how things will work if I had a nearly 100% CPU load. In the real world you would just have to get millions of users to visit your website that has a SQL Server backend, that its not that easy in my development / test lab.

Here is that I came up with for a plan. Keeping in mind the goal here is to write queries that will use up as much CPU as possible. This is counter-intuitive, completely against everything that I practice on a daily basis, but here goes.

First create a table with poor design. Using UNIQUEIDENTIFIERS for a primary key and a foreign key (parent_id) is probably ugly enough.


CREATE TABLE SplitThrash
(
 id UNIQUEIDENTIFIER default newid(),
 parent_id UNIQUEIDENTIFIER default newid(),
 name VARCHAR(50) default cast(newid() as varchar(50))
);

Next we fill the table up with lots and lots of rows, specifically 1,000,000 rows, remember here the goal is to simulate CPU load. If this isn’t enough I often times run this script several times. Keep in mind the GO statement followed by a number says to execute the batch that many times.


SET NOCOUNT ON;
INSERT INTO SplitThrash DEFAULT VALUES;
GO  1000000

Next, this part makes me just feel nasty. Create a CLUSTERED index on the table that we just filled up, and cluster on BOTH columns that were UNIQUEIDENTIFIERS.


CREATE CLUSTERED INDEX [ClusteredSplitThrash] ON [dbo].[SplitThrash]
(
 [id] ASC,
 [parent_id] ASC
);

At this point is is a bit ugly, but it still doesn’t use much memory. You are probably wondering why I called the table split thrash. I gave it this name so that updating the UNIQUEIDENTIFER would cause as many page splits or new page allocations as possible. So we update the parent_id which is part of the clustered index

UPDATE SplitThrash
SET parent_id = newid(), id = newid();
GO 100

This update statement causes chaos in the page structure for the table as updating the unique identifiers causes quite a bit of processor work.

On my wimpy VM for this development environment I need to repeat this entire process creating 4 or 5 tables, and doing the update in 4 or 5 SSMS windows in order to use up all of the CPU on the database.

Don’t try this on a production system, but it is a great test to run on a development server.

See Also:

If you like this you might also like my article on how to use up all of your memory with a common table expression.

 

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